AN IMAGE EDGE DETECTION METHOD BASED ON MATHEMATICAL MORPHOLOGY

被引：0
|
作者：
Ji Xiaoping [1 ]
Zhang Haibin [2 ]
Zhang Dazhi [1 ]
Wu Boying [1 ]
机构：
[1] Harbin Inst Technol, Dept Math, 92 Xidazhi St, Harbin 150001, Peoples R China
[2] HeiLongJiang Elect Power Co Ltd, Zhangha, Peoples R China
来源：
PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13) | 2013年 / 84卷
基金：
美国国家科学基金会;
关键词：
Mathematical morphology; Edge detection; Structural elements; Denoising ability;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present two kinds of improved morphological edge detectors according to: the characteristics of the classical morphological operators and the disadvantages of the single structural elements selected. The structure of the first improved operator considers multi-structural elements and omni-directional structural elements, along with the characteristics of dilation, erosion, opening and closing. The second improved operator uses a different structural element based on the first improved operator, which is characterized by multi-structure, multi-scale and multi-direction. The final experiment's results show that, comparing with the classical morphological operators and traditional edge detectors, the edge detection effects and the denoising ability of improved operators are superior, and they are extremely practical, and can be widely used in subsequent image processing.
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页码：181 / 190
页数：10
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